Tinydolphin 1.1B - Details

Tinydolphin 1.1B is a compact, experimental large language model developed by the community-driven maintainer Cognitive Computations. It features 1.1 billion parameters and is released under the Apache License 2.0. The model, known as Dolphin 2.8, is trained on a new dataset to emphasize efficiency and experimental capabilities while maintaining accessibility through its open licensing.

Tinydolphin 1.1B is an experimental large language model developed by the community-driven maintainer Cognitive Computations. It is part of the TinyLlama project, which aims to pretrain a 1.1B Llama model on 3 trillion tokens. The model is trained on the new Dolphin 2.8 dataset using two 3090 GPUs by Kearm, emphasizing compactness and versatility for applications with restricted computation and memory resources. It operates under the Apache License 2.0, ensuring open accessibility and flexibility for diverse use cases.

Tinydolphin 1.1B is a compact large language model with 1.1b parameters, placing it in the small model category, which ensures fast and resource-efficient performance ideal for simple tasks. Its 2k context length falls within short contexts, making it suitable for brief interactions but limiting its ability to handle extended texts. The model’s design prioritizes efficiency, aligning with its focus on applications requiring restricted computation and memory, while its open licensing fosters accessibility.

• Name: Tinydolphin 1.1B
• Parameter_Size: 1.1b (Small models: fast and resource-efficient, suitable for simple tasks)
• Context_Length: 2k (Short contexts: suitable for short tasks, limited in long texts)

Tinydolphin 1.1B is a compact large language model with 1.1b parameters and a 2k context length, designed for applications where efficiency and adaptability are key. Its possible uses include text generation, where it could assist in drafting content or automating simple writing tasks, though further testing would be needed to confirm its effectiveness. Possible applications in language translation might involve converting text between languages, but its performance in this area would require thorough evaluation. For creative writing, it could generate ideas or support storytelling, though its limited context length might restrict its ability to handle extended narratives. These possible uses highlight the model’s flexibility but also underscore the need for careful exploration to understand its strengths and limitations.

• Name: Tinydolphin 1.1B
• Intended_Uses: text generation, language translation, creative writing

Tinydolphin 1.1B is a compact large language model with 1.1b parameters and a 2k context length, offering possible applications in areas where efficiency and adaptability are prioritized. Possible uses could include generating concise summaries of technical documents, as its design may support rapid processing of structured content. Potential applications might involve assisting with basic coding tasks, where its lightweight architecture could enable quick responses for simple queries. Possible scenarios could include creating interactive tutorials or educational materials, leveraging its ability to handle short, focused interactions. Possible opportunities might also arise in multilingual content creation, where its training on diverse datasets could support translation or adaptation of short texts. However, each possible application requires thorough evaluation to ensure alignment with specific needs and constraints.

• Name: Tinydolphin 1.1B
• Possible Applications: educational content creation, coding assistance, technical summaries, multilingual text adaptation

Tinydolphin 1.1B's medium q4 version requires a GPU with at least 8GB VRAM and a system with 32GB RAM to run efficiently, making it suitable for devices with moderate resources. This quantization balances precision and performance, allowing possible use on consumer-grade hardware. However, possible applications may vary depending on specific workloads and optimizations.

• Quantized Versions: fp16, q2, q3, q4, q5, q6, q8

Tinydolphin 1.1B is a compact, experimental large language model with 1.1b parameters and a 2k context length, designed for efficiency and versatility in resource-constrained environments. It is part of the TinyLlama project, trained on 3 trillion tokens, and released under the Apache License 2.0, making it accessible for diverse applications while prioritizing lightweight performance.

Huggingface Model Page
Ollama Model Page